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262 lines
12 KiB
Python
262 lines
12 KiB
Python
import pytest
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import re
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import time
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import pymilvus
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from common import common_func as cf
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from common import common_type as ct
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from common.common_type import CaseLabel, CheckTasks
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from common.milvus_sys import MilvusSys
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from utils.util_pymilvus import *
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from deploy.base import TestDeployBase
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from deploy.common import gen_index_param, gen_search_param, get_deploy_test_collections
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from utils.util_log import test_log as log
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default_nb = ct.default_nb
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default_nq = ct.default_nq
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default_dim = ct.default_dim
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default_limit = ct.default_limit
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default_search_field = ct.default_float_vec_field_name
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default_search_params = ct.default_search_params
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default_int64_field_name = ct.default_int64_field_name
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default_float_field_name = ct.default_float_field_name
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default_bool_field_name = ct.default_bool_field_name
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default_string_field_name = ct.default_string_field_name
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binary_field_name = ct.default_binary_vec_field_name
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default_search_exp = "int64 >= 0"
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default_term_expr = f'{ct.default_int64_field_name} in [0, 1]'
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pymilvus_version = pymilvus.__version__
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class TestActionSecondDeployment(TestDeployBase):
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""" Test case of action before reinstall """
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@pytest.fixture(scope="function", params=get_deploy_test_collections())
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def all_collection_name(self, request):
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if request.param == [] or request.param == "":
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pytest.skip("The collection name is invalid")
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yield request.param
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def teardown_method(self, method):
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log.info(("*" * 35) + " teardown " + ("*" * 35))
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log.info("[teardown_method] Start teardown test case %s..." %
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method.__name__)
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log.info("show collection info")
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log.info(f"collection {self.collection_w.name} has entities: {self.collection_w.num_entities}")
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res, _ = self.utility_wrap.get_query_segment_info(self.collection_w.name)
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log.info(f"The segment info of collection {self.collection_w.name} is {res}")
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index_infos = [index.to_dict() for index in self.collection_w.indexes]
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log.info(f"collection {self.collection_w.name} index infos {index_infos}")
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log.info("skip drop collection")
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def create_index(self, collection_w, default_index_field, default_index_param):
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index_field_map = dict([(index.field_name, index.index_name) for index in collection_w.indexes])
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index_infos = [index.to_dict() for index in collection_w.indexes]
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log.info(f"index info: {index_infos}")
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# log.info(f"{default_index_field:} {default_index_param:}")
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if len(index_infos) > 0:
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log.info(
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f"current index param is {index_infos[0]['index_param']}, passed in param is {default_index_param}")
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log.info(
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f"current index name is {index_infos[0]['index_name']}, passed in param is {index_field_map.get(default_index_field)}")
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collection_w.create_index(default_index_field, default_index_param,
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index_name=index_field_map.get(default_index_field, gen_unique_str("test")))
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collection_w.create_index(default_string_field_name, {},
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index_name=index_field_map.get(default_string_field_name, gen_unique_str("test")))
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@pytest.mark.tags(CaseLabel.L3)
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def test_check(self, all_collection_name, data_size):
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"""
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before reinstall: create collection
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"""
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self._connect()
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ms = MilvusSys()
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name = all_collection_name
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is_binary = False
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if "BIN" in name:
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is_binary = True
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collection_w, _ = self.collection_wrap.init_collection(name=name)
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self.collection_w = collection_w
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schema = collection_w.schema
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data_type = [field.dtype for field in schema.fields]
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field_name = [field.name for field in schema.fields]
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type_field_map = dict(zip(data_type, field_name))
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if is_binary:
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default_index_field = ct.default_binary_vec_field_name
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vector_index_type = "BIN_IVF_FLAT"
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else:
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default_index_field = ct.default_float_vec_field_name
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vector_index_type = "IVF_FLAT"
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binary_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if
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index.field_name == type_field_map.get(100, "")]
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float_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if
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index.field_name == type_field_map.get(101, "")]
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index_field_map = dict([(index.field_name, index.index_name) for index in collection_w.indexes])
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index_names = [index.index_name for index in collection_w.indexes] # used to drop index
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vector_index_types = binary_vector_index_types + float_vector_index_types
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if len(vector_index_types) > 0:
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vector_index_type = vector_index_types[0]
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try:
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t0 = time.time()
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self.utility_wrap.wait_for_loading_complete(name)
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log.info(f"wait for {name} loading complete cost {time.time() - t0}")
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except Exception as e:
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log.error(e)
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# get replicas loaded
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try:
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replicas = collection_w.get_replicas(enable_traceback=False)
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replicas_loaded = len(replicas.groups)
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except Exception as e:
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log.error(e)
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replicas_loaded = 0
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log.info(f"collection {name} has {replicas_loaded} replicas")
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actual_replicas = re.search(r'replica_number_(.*?)_', name).group(1)
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assert replicas_loaded == int(actual_replicas)
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# params for search and query
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if is_binary:
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_, vectors_to_search = cf.gen_binary_vectors(
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default_nb, default_dim)
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default_search_field = ct.default_binary_vec_field_name
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else:
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vectors_to_search = cf.gen_vectors(default_nb, default_dim)
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default_search_field = ct.default_float_vec_field_name
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search_params = gen_search_param(vector_index_type)[0]
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# load if not loaded
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if replicas_loaded == 0:
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# create index for vector if not exist before load
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is_vector_indexed = False
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index_infos = [index.to_dict() for index in collection_w.indexes]
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for index_info in index_infos:
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if "metric_type" in index_info.keys() or "metric_type" in index_info["index_param"]:
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is_vector_indexed = True
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break
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if is_vector_indexed is False:
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default_index_param = gen_index_param(vector_index_type)
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self.create_index(collection_w, default_index_field, default_index_param)
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collection_w.load()
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# search and query
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if "empty" in name:
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# if the collection is empty, the search result should be empty, so no need to check
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check_task = None
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else:
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check_task = CheckTasks.check_search_results
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=check_task,
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check_items={"nq": default_nq,
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"limit": default_limit})
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if "empty" in name:
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check_task = None
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else:
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check_task = CheckTasks.check_query_not_empty
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=check_task)
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# flush
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if pymilvus_version >= "2.2.0":
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collection_w.flush()
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else:
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collection_w.collection.num_entities
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# search and query
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if "empty" in name:
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check_task = None
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else:
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check_task = CheckTasks.check_search_results
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=check_task,
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check_items={"nq": default_nq,
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"limit": default_limit})
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if "empty" in name:
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check_task = None
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else:
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check_task = CheckTasks.check_query_not_empty
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=check_task)
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# insert data and flush
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for i in range(2):
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self.insert_data_general(insert_data=True, is_binary=is_binary, nb=data_size,
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is_flush=False, is_index=True, name=name,
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enable_dynamic_field=False, with_json=False)
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if pymilvus_version >= "2.2.0":
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collection_w.flush()
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else:
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collection_w.collection.num_entities
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# delete data
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delete_expr = f"{ct.default_int64_field_name} in [0,1,2,3,4,5,6,7,8,9]"
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collection_w.delete(expr=delete_expr)
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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# drop index if exist
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if len(index_names) > 0:
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for index_name in index_names:
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collection_w.release()
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collection_w.drop_index(index_name=index_name)
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default_index_param = gen_index_param(vector_index_type)
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self.create_index(collection_w, default_index_field, default_index_param)
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collection_w.load()
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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# release and reload with changed replicas
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collection_w.release()
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replica_number = 1
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if replicas_loaded in [0, 1] and len(ms.query_nodes) >= 2:
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replica_number = 2
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collection_w.load(replica_number=replica_number)
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# search and query
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collection_w.search(vectors_to_search[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp,
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output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit})
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collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name],
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check_task=CheckTasks.check_query_not_empty)
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